Comparing different types of AI/ML Partners

Comparing different types of AI/ML Partners

  • Posted by GM, Digital Solutions
  • On December 3, 2020
  • AI, Data Science, Hiring, Software Development
An AI/ML project is often more challenging than an “ordinary” software project. It comes with unique risks that can threaten the desired business outcome. Given the high rate of project failures, or those that remain in “POC Purgatory” unable to be scaled into production, it’s critical for AI project owners to understand the risks they face to reach a successful product execution. In this article we will discuss one of these risks: the importance of building a team with the right skill sets
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How to Build Your Own Intelligent Assistant Using RASA

  • Posted by Daitan Innovation Team
  • On November 25, 2020
  • AI, Chatbot, Open Source, RASA

Chatbots are everywhere. So are the tools that promise easy development and deployment of these applications. Frameworks like Google DialogFlow, Microsoft Luis, and Amazon Lex are fighting (badly) each-other to control this growing market.

In this blog post, we describe an...

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 Exploring the Viability of Generative Adversarial Networks for Audio Denoising

Exploring the Viability of Generative Adversarial Networks for Audio Denoising

  • Posted by Daitan Innovation Team
  • On November 18, 2020
  • AI, Artificial Intelligence, Audio, Audio De-noiser
There are various definitions of audio denoising. For the purposes of this project we interpret audio denoising to be the removal of any sound other than the primary speaker's voice. Thalles Santos Silva covers the mathematical concepts behind denoising and the CNN in his 2019 article. He also provides background information about the two datasets involved (Mozilla Common Voice English dataset and the UrbanSound8k dataset).
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 Build an AI Project Team with the Right Skill Sets to Avoid Risk of Failure

Build an AI Project Team with the Right Skill Sets to Avoid Risk of Failure

  • Posted by GM, Digital Solutions
  • On November 2, 2020
  • AI, Data Science, Hiring, Software Development
An AI/ML project is often more challenging than an “ordinary” software project. It comes with unique risks that can threaten the desired business outcome. Given the high rate of project failures, or those that remain in “POC Purgatory” unable to be scaled into production, it’s critical for AI project owners to understand the risks they face to reach a successful product execution. In this article we will discuss one of these risks: the importance of building a team with the right skill sets
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 Cheat sheet to quiz your ML/AI candidate partner

Cheat sheet to quiz your ML/AI candidate partner

  • Posted by GM, Digital Solutions
  • On October 17, 2020
  • AI, Risk Assessment, Risk Management, SME
No matter the industry sector, artificial intelligence and machine learning continue to transform how we do business. From AI-powered chatbots performing a customer service role, to automated financial trading algorithms, a variety of ML expert innovations are driving this digital transformation.
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 Building a Voice Recognition System with PyTorch by Taking Advantage of Computer Vision Techniques

Building a Voice Recognition System with PyTorch by Taking Advantage of Computer Vision Techniques

  • Posted by Daitan Innovation Team
  • On June 18, 2020
  • AI, Biometrics, Computer Vision, Deep Learning, NLP, PyTorch, Voice Recognition
In this piece we describe how we built a reasonably performing Voice Recognition System with PyTorch, using deep learning Computer Vision techniques. With results as good as 90.2% accuracy using different training and testing samples, with only 25% of the original dataset size, we demonstrate how it is currently possible for different AI domains to leverage knowledge from each other to improve their techniques and outcomes.
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 Facial Recognition | Authentication

Facial Recognition | Authentication

  • Posted by Wilker Amorim
  • On December 8, 2019
  • AI, Facial Recognition, Symphony Platform
Currently, face authentication is one of the most reliable and seamless biometric technologies in the tech market. It offers a fast and natural mechanism to prevent fraudulent actions caused by stolen personal credentials.
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